SilloSpace uses AI across search, valuation, recommendations and safety — always in service of helping people make better real estate decisions.
Smart Search
Natural language search lets you describe what you're looking for — "3-bed near good schools under $600K" — and our model surfaces the best matches.
Sillostimate™ Valuation
Our deep learning valuation model processes hundreds of signals daily to estimate home values with industry-leading accuracy.
Personalised Recommendations
We learn from your saved homes, searches and tour history to surface listings you're likely to love before you even search for them.
AI Home Assistant
Our conversational assistant answers questions about any listing — square footage, school ratings, flood risk, commute times — instantly.
Fair Housing Classifier
An open-source model that monitors listings and search results for potential bias, ensuring equal access for all users.
Price Trend Forecasting
Predictive models that estimate how local prices may evolve over the next 12 months to help buyers and sellers time their decisions.
Massive training data
Our models are trained on hundreds of millions of historical transactions, listing attributes, user interactions and macroeconomic signals.
Continuous retraining
Models are retrained on a rolling basis — some daily, some weekly — to ensure they reflect the current market, not last year's.
Bias auditing
Every model goes through a disparate impact analysis before deployment. Results are reviewed by our Responsible AI team.
Explainability first
Where possible we build models that can explain their outputs — so users and agents can understand why a recommendation or estimate was made.
Human in the loop
High-stakes outputs — like content moderation and fraud detection — always involve a human review step before action is taken.
Transparency
Fairness
Accountability
Privacy by design
Safety first
Open research
Try describing your dream home in plain English and let our AI find the best matches.
Try Smart Search